In this paper we describe an approach to improve the indexing and searching mechanisms in a learning object repository using semantic web technologies. The proposed solution is based on the Latent Semantic Analysis technique for a semiautomatic annotation of learning objects. The concepts presented in this paper are based on the experience of using a Learning Object Management System called FreeLOms developed within the framework of the EU-funded SLOOP Project, Sharing Learning Objects in an Open perspective.
A Latent Semantic Analysis approach to improve semantic Learning Object annotation
Gentile Manuel;Taibi Davide;Fulantelli Giovanni;La Guardia Dario;Allegra Mario
2009
Abstract
In this paper we describe an approach to improve the indexing and searching mechanisms in a learning object repository using semantic web technologies. The proposed solution is based on the Latent Semantic Analysis technique for a semiautomatic annotation of learning objects. The concepts presented in this paper are based on the experience of using a Learning Object Management System called FreeLOms developed within the framework of the EU-funded SLOOP Project, Sharing Learning Objects in an Open perspective.File in questo prodotto:
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